The first proposed da solution relies on a tl strategy. As pointed out in [1]} and in sec:back:domainadaptation, da is a particular tl case that employs labeled data in one or more relevant source domains to execute the task in a target domain. In particular, the crucial point in this methodology consists of fine-tuning a previously trained model with the target-domain data.
